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Yongsang Song
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2020 – today
- 2020
- [j3]Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park:
Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. Int. J. Data Min. Bioinform. 24(1): 1-15 (2020) - [j2]Kyullhee Han
, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn:
Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. Int. J. Data Min. Bioinform. 24(3): 220-237 (2020)
2010 – 2019
- 2019
- [c2]Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song
, Taesung Park:
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. BIBM 2019: 1982-1987 - 2018
- [j1]TaeJin Ahn, Nayeon Kang, Yonggab Kim, Se Ik Kim, Yongsang Song
, Taesung Park:
Predicting survival outcomes in ovarian cancer using gene expression data. Int. J. Data Min. Bioinform. 21(4): 339-351 (2018) - 2011
- [c1]Yongsang Song, Jongmoo Choi, Kyongho Han:
Multimodal Security Enhancement Scheme for Java Card. NBiS 2011: 622-627
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last updated on 2024-04-24 22:50 CEST by the dblp team
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